D.C. Pevear

542 total citations
9 papers, 429 citations indexed

About

D.C. Pevear is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, D.C. Pevear has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Molecular Biology. Recurrent topics in D.C. Pevear's work include Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (4 papers) and Bacteriophages and microbial interactions (2 papers). D.C. Pevear is often cited by papers focused on Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (4 papers) and Bacteriophages and microbial interactions (2 papers). D.C. Pevear collaborates with scholars based in United States, Austria and Canada. D.C. Pevear's co-authors include G. D. DIANA, Michael G. Rossmann, M A McKinlay, Frank J. Dutko, Mark Steven Miller, Peter J. Felock, Adi M. Treasurywala, Ernst Kuechler, Dieter Blaas and Katherine A. Jones and has published in prestigious journals such as Hepatology, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

D.C. Pevear

8 papers receiving 419 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D.C. Pevear United States 7 227 200 173 96 93 9 429
Hangchun Zhang United States 5 131 0.6× 242 1.2× 166 1.0× 197 2.1× 275 3.0× 7 501
Angela Skelton United States 13 421 1.9× 158 0.8× 373 2.2× 121 1.3× 492 5.3× 20 754
Peter Buontempo United States 9 99 0.4× 159 0.8× 204 1.2× 89 0.9× 15 0.2× 16 366
Bernadette Crescenzo-Chaigne France 12 314 1.4× 47 0.2× 257 1.5× 142 1.5× 25 0.3× 19 562
Stanley M. Lemon United States 5 146 0.6× 151 0.8× 79 0.5× 117 1.2× 237 2.5× 5 339
Matthieu Yver France 8 196 0.9× 41 0.2× 97 0.6× 127 1.3× 18 0.2× 11 362
H H Lu United States 7 72 0.3× 293 1.5× 169 1.0× 159 1.7× 105 1.1× 8 383
Weiping Qin Japan 5 166 0.7× 49 0.2× 56 0.3× 137 1.4× 227 2.4× 7 341
G. D. DIANA United States 11 263 1.2× 369 1.8× 132 0.8× 168 1.8× 7 0.1× 16 565
N. Stella Cuervo France 3 64 0.3× 226 1.1× 218 1.3× 46 0.5× 17 0.2× 4 315

Countries citing papers authored by D.C. Pevear

Since Specialization
Citations

This map shows the geographic impact of D.C. Pevear's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D.C. Pevear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.C. Pevear more than expected).

Fields of papers citing papers by D.C. Pevear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.C. Pevear. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D.C. Pevear. The network helps show where D.C. Pevear may publish in the future.

Co-authorship network of co-authors of D.C. Pevear

This figure shows the co-authorship network connecting the top 25 collaborators of D.C. Pevear. A scholar is included among the top collaborators of D.C. Pevear based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D.C. Pevear. D.C. Pevear is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Belley, Adam, et al.. (2025). Establishing the reference broth microdilution MIC method for cefepime-taniborbactam. Journal of Clinical Microbiology. 63(9). e0066125–e0066125.
2.
Kneteman, Norman M., Anita Y. M. Howe, Tiejun Gao, et al.. (2008). HCV796. Hepatology. 49(3). 745–752. 98 indexed citations
3.
Bolken, Tové C., Sylvie Laquerre, Yi Zhang, et al.. (2005). Identification and characterization of potent small molecule inhibitor of hemorrhagic fever New World arenaviruses. Antiviral Research. 69(2). 86–97. 83 indexed citations
4.
Tsang, Simon K., Lyle Isaacs, Diane Joseph‐McCarthy, et al.. (2001). A structurally biased combinatorial approach for discovering new anti-picornaviral compounds. Chemistry & Biology. 8(1). 33–45. 13 indexed citations
5.
Zhao, Rui, Marcia J. Kremer, Richard Kühn, et al.. (1996). Crystal structure of human rhinovirus 3 and comparison with other rhinoviruses. Acta Crystallographica Section A Foundations of Crystallography. 52(a1). C183–C183. 2 indexed citations
6.
Kremer, Marcia J., Michael G. Rossmann, Guy D. Diana, et al.. (1994). Human Rhinovirus 14 Complexed with Fragments of Active Antiviral Compounds. Virology. 202(1). 360–369. 16 indexed citations
7.
Pevear, D.C., et al.. (1991). Stabilization of human rhinovirus serotype 2 against pH-induced conformational change by antiviral compounds. Journal of General Virology. 72(2). 431–433. 43 indexed citations
8.
Pevear, D.C., Markus Otto, M A McKinlay, et al.. (1989). Inhibitors of viral uncoating. Pharmacology & Therapeutics. 42(3). 289–305. 23 indexed citations
9.
Pevear, D.C., Peter J. Felock, Michael G. Rossmann, et al.. (1989). Conformational change in the floor of the human rhinovirus canyon blocks adsorption to HeLa cell receptors. Journal of Virology. 63(5). 2002–2007. 151 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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